Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 10, issue 9
Articles | Volume 10, issue 9
https://doi.org/10.5194/amt-10-3313-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-10-3313-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 10, issue 9
Research article
 | 
11 Sep 2017
Research article |  | 11 Sep 2017

Spatial estimation of air PM2.5 emissions using activity data, local emission factors and land cover derived from satellite imagery

Hezron P. Gibe and Mylene G. Cayetano

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Latest update: 13 Nov 2024
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Short summary
This paper presents a low-technical method of estimating particulate air pollution in small cities, using Cabanatuan City, Philippines, as the study site, intended for use by stakeholders requiring minimal training in geospatial methods and GIS, for expediting air pollution emission inventories. This method utilizes local emission data and land cover derived from Google Earth satellite images. Results in the study site suggest high emissions from vehicular sources and rice straw burning.
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